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Record W4411163635 · doi:10.1093/ecco-jcc/jjaf095

Achievement of long-term treatment goals in upadacitinib-treated patients with moderately to severely active ulcerative colitis: a post hoc analysis of phase 3 trial data

2025· article· en· W4411163635 on OpenAlexaff
Julián Panés, Marla C. Dubinsky, Yoh Ishiguro, Nidhi Shukla, Elena Dubcenco, Valencia P. Remple, Dolly Sharma, Remo Panaccione

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
FundersAbbVie
KeywordsMedicinePlaceboUlcerative colitisClinical endpointInternal medicineClinical trialPost-hoc analysisGastroenterologyIntention-to-treat analysisSurgeryDiseasePathology

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Comprehensive disease control is an important yet elusive treatment goal in ulcerative colitis (UC). We evaluated the effect of upadacitinib induction and maintenance treatment on composite clinical endpoints and normalization of important health-related quality of life (HRQoL) outcomes. METHODS: Data from the U-ACHIEVE and U-ACCOMPLISH trials were analyzed. Clinical responders to upadacitinib 45 mg 8-week induction were re-randomized 1:1:1 to upadacitinib 30 mg, 15 mg, or placebo for 52 weeks of maintenance. The percentage of patients achieving a composite clinical endpoint (clinical remission, complete symptom resolution, and Inflammatory Bowel Disease Questionnaire [IBDQ] remission) and a composite endpoint for normalization of HRQoL outcomes (Functional Assessment of Chronic Illness Therapy-Fatigue, IBDQ remission, Work Productivity and Activity Impairment Questionnaire-Ulcerative Colitis, 36-item Short Form Survey Physical Component Summary and Mental Component Survey, and EuroQol 5-Dimension 5-Level scores) was evaluated. RESULTS: At induction week 8, more patients treated with upadacitinib 45 mg achieved the composite clinical endpoint vs placebo (6.4% vs 0.9%, P ≤ .001) and normalization of the composite HRQoL endpoint (18.9% vs 5.5%, P ≤ .001). At maintenance week 52, the composite clinical endpoint was achieved by 18.3% and 13.1% of patients treated with upadacitinib 30 mg and 15 mg, respectively, vs 4.5% with placebo (P ≤ .001). Normalization of the composite HRQoL endpoint was achieved by 24.0% and 22.3% of patients treated with upadacitinib 30 mg and 15 mg, respectively, vs 8.7% for placebo (P ≤ .001). CONCLUSIONS: Upadacitinib may help patients with moderately to severely active UC achieve complete symptom resolution, endoscopic remission, and normalization of HRQoL. CLINICAL REGISTRATION NUMBERS: U-ACHIEVE (NCT02819635) and U-ACCOMPLISH (NCT03653026).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.302
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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